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annotate m-toolbox/classes/@specwin/kaiser_nenbw.m @ 3:960fe1aa1c10 database-connection-manager

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Add LTPDADatabaseConnectionManager implementation. Java code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 function nenbw = kaiser_nenbw(alpha)
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2
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3 % KAISER_NENBW returns the normalized noise-equivalent bandwidth for a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % kaiser window with parameter alpha.
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % Take from C code of Gerhard Heinzel:
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % Compute the 'normalized noise-equivalent bandwidth'
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9 % (NENBW) [bins] of Kaiser windows from the parameter alpha.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % Best-fit polynomial was obtained from 180 data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % points between alpha=1 and alpha=9.95.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % Maximum error is 0.007 bins
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13 % NOTE that NENBW can be computed precisely
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14 % from the actual time-domain window values
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % M Hewitson 19-05-07
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % $Id: kaiser_nenbw.m,v 1.1 2008/06/20 10:46:54 hewitson Exp $
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19 %
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20
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21 a0 = 0.768049;
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22 a1 = 0.411986;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 a2 = -0.0264817;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 a3 = 0.000962211;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 x = alpha;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 nenbw = (((((a3 * x) + a2) * x) + a1) * x + a0);
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27
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28 % END